Presidio with spacy/stanza does not detect Polish names

[Maltaz]

I am using presidio to anonymize text in Polish, but it does not detect names (e.g., "Jan Kowalski"). Here is my code:

from presidio_anonymizer import PresidioAnonymizer
from presidio_reversible_anonymizer import PresidioReversibleAnonymizer

config = {
    "nlp_engine_name": "spacy",
    "models": [{"lang_code": "pl", "model_name": "pl_core_news_lg"}],
}

anonymizer = PresidioAnonymizer(analyzed_fields=["PERSON", "PHONE_NUMBER", "EMAIL_ADDRESS"],
                                languages_config=config)

anonymizer_tool = PresidioReversibleAnonymizer(analyzed_fields=["PERSON", "PHONE_NUMBER", "EMAIL_ADDRESS"],
                                               languages_config=config)

text = "Jan Kowalski mieszka w Warszawie i ma e-mail [email protected]."

anonymized_result = anonymizer_tool.anonymize(text)
anon_result = anonymizer.anonymize(text)
deanonymized_result = anonymizer_tool.deanonymize(anonymized_result)

print("Anonymized text:", anonymized_result)
print("Deanonymized text:", deanonymized_result)
print("Map:", anonymizer_tool.deanonymizer_mapping)
print("Anonymized text:", anon_result)

Output:

Anonymized text: Jan Kowalski mieszka w Warszawie i ma e-mail [email protected].
Deanonymized text: Jan Kowalski mieszka w Warszawie i ma e-mail [email protected].
Map: {}
Anonymized text: Jan Kowalski mieszka w Warszawie i ma e-mail [email protected].

I expected the name "Jan Kowalski" and the email address to be anonymized, but the output remains unchanged. I have installed the pl_core_news_lg model using:

python -m spacy download pl_core_news_lg
Am I missing something in the configuration, or does Presidio not support Polish entity recognition properly? Any suggestions on how to make it detect names in Polish?

The interesting thing is that when I use only

anonymizer_tool = PresidioReversibleAnonymizer()
Then the output look like this:

Anonymized text: Elizabeth Tate mieszka w Warszawie i ma e-mail [email protected]. 
Deanonymized text: Jan Kowalski mieszka w Warszawie i ma e-mail [email protected]. 
Map: {'PERSON': {'Elizabeth Tate': 'Jan Kowalski'}, 'EMAIL_ADDRESS': {'[email protected]': '[email protected]'}}

I have also tired it with stanza package but with the same result. Here is my code for that :

    import stanza
    stanza.download("pl")
    from presidio_analyzer import AnalyzerEngine, RecognizerRegistry, PatternRecognizer, EntityRecognizer, Pattern, \
        RecognizerResult
    from presidio_analyzer.nlp_engine import NlpEngineProvider
    text = "Jan Kowalski mieszka w Warszawie i ma e-mail [email protected]."

    configuration = {"nlp_engine_name": "stanza", "models": [{"lang_code": "pl", "model_name": "pl"}]}
    provider = NlpEngineProvider(nlp_configuration=configuration)
    nlp_engine = provider.create_engine()
    analyzer = AnalyzerEngine(nlp_engine=nlp_engine, supported_languages=["pl"])

    results = analyzer.analyze(text=text, language="pl", entities=['PHONE_NUMBER', 'PERSON', 'PER'])